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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12945
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    Explanations

    phrases or words specifically consisting of " &"

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and symbols indicating connections or relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atche
    -0.88
    etheless
    -0.76
    ionage
    -0.74
    isoft
    -0.73
    senal
    -0.71
    sembly
    -0.70
    blance
    -0.70
     misunder
    -0.68
    iguous
    -0.67
    ossier
    -0.65
    POSITIVE LOGITS
     Friends
    0.83
    GAN
    0.83
    ^^^^
    0.79
    #$
    0.76
    ++++++++++++++++
    0.76
     Co
    0.73
    optional
    0.69
     Associates
    0.68
    nect
    0.68
    vine
    0.67
    Activations Density 0.036%

    No Known Activations